Ansys has introduced SimAI, a cloud-native, AI-powered simulation platform designed to make advanced engineering analysis accessible to both specialists and non-experts. Officially added to the company’s portfolio in early 2024, SimAI is positioned as a physics-agnostic tool that leverages machine learning to deliver rapid, accurate predictions without requiring deep expertise in coding or simulation theory.
The release comes amid growing pressure on product development teams to handle increasingly complex designs within compressed timelines. Traditional simulation workflows, while powerful, often demand significant setup time and specialized knowledge. By integrating generative AI into the process, SimAI aims to accelerate result generation, enabling engineers to explore broader design spaces and iterate more quickly.
“Our customers across industries are becoming more reliant on generative AI to improve their design processes,” said Shane Emswiler, senior vice president of products at Ansys. “The increased demand for cloud-native solutions signals momentum in the shift from siloed workflows to a more open, collaborative approach to simulation. Ansys SimAI, in combination with other Ansys solutions, opens a world of possibilities — helping organizations develop comprehensive, end-to-end processes for diverse applications with inherent time and cost-saving benefits.”
Unlike Ansys AI+, which adds AI and machine learning features to existing Ansys products such as Granta MI AI+ and optiSLang AI+, SimAI operates independently. Its physics-agnostic architecture allows it to be trained on diverse simulation datasets, accommodating the needs of multiple industries from automotive to aerospace. “AI+ are modules that extend the capability of our existing products by leveraging AI/ML technology,” explained Ilya Tolchinsky, Lead Product Manager at Ansys. “They cannot function without underlying products like Ansys optiSLang.”
One of SimAI’s defining features is its shape-based approach to simulation. Instead of relying on traditional geometric parameters, the system focuses on the overall form of the object being analyzed. This enables it to handle inconsistent shapes in both training and input data, expanding the range of viable design variations. For teams working in early-stage concept development, this capability could significantly broaden exploration without the bottleneck of complex parameterization.
The interface has been intentionally simplified to lower the barrier to entry. Users without coding or deep learning backgrounds can set up and run simulations, making the tool suitable for multidisciplinary teams where simulation expertise is unevenly distributed. This democratization of simulation aligns with broader industry trends toward more collaborative, cross-functional product development environments.
Renault Group has already identified potential benefits. “With Ansys SimAI, we will be able to easily test a design within minutes and rapidly analyze the results, ultimately redefining our digital engineering workflow and reshaping our perception of what is possible,” said William Becamel, expert leader in numerical modeling and simulation at Renault Group. “By enhancing simulation speed, we can explore more technical possibilities during the upstream phase of our projects and reduce the overall time-to-market.”
SimAI’s training process relies on historical simulation data, whether generated by Ansys software or other compatible tools. This data is hosted on secure cloud infrastructure, with safeguards to protect intellectual property. Ansys emphasizes that the platform’s open ecosystem supports integration with other tools and workflows, while its predictive capabilities can deliver performance estimates in minutes.
For industries where rapid iteration is critical — such as aerospace component design, electric vehicle development, or advanced robotics — the ability to quickly assess a wide range of design options without sacrificing accuracy could reshape engineering cycles. The combination of AI-driven prediction, intuitive user experience, and cloud-based scalability positions SimAI as a notable step toward making high-fidelity simulation a standard part of the design process for a broader audience.